Dr. B. Harichandana | Internet of Things | Best Researcher Award

Dr. B. Harichandana | Internet of Things | Best Researcher Award

Dr. B. Harichandana, Srinivasa Ramanujan Institute of Technology, India 

Dr. B. Hari Chandana is an Associate Professor in the Department of Computer Science and Engineering at Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh, India. With over 18 years of teaching experience, she has held academic positions at reputed institutions including Sir C.V. Raman Institute of Technology and Sciences and Nalanda Degree College. She earned her Ph.D. in Computer Science and Technology from Sri Krishnadevaraya University, where her research focused on image processing, specifically the recognition of Indian currency based on texture classification using SVM classifiers. She also holds an M.Tech in Information Technology from Karnataka State Open University and an M.Sc. in Computer Science from Sri Krishnadevaraya University. Dr. Chandana has qualified both the UGC-NET and the AP-SET in Computer Science and Applications, reflecting her strong academic proficiency. Passionate about research and emerging technologies, she continues to contribute to the fields of computer science and image processing through teaching, mentoring, and scholarly work.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Dr. B. Hari Chandana, an accomplished academic with over 18 years of teaching and research experience, is a strong and deserving candidate for the Best Researcher Award. Her career reflects a consistent commitment to advancing the fields of Computer Science, Image Processing, and Artificial Intelligence, as well as mentoring the next generation of researchers and professionals.

🎓 Education Qualifications

  • 🧠 Ph.D. in Computer Science & Technology
    📅 2016–2020
    🏫 Sri Krishnadevaraya University, Anantapur, Andhra Pradesh
    📌 Research Area: Image Processing
    📜 Thesis: Security Features of Indian Currency Recognition Based on Texture Classification Using SVM Classifier

  • 💻 M.Tech in Information Technology
    📅 2012–2014
    🏫 Karnataka State Open University, Mysore
    🏅 Division: Distinction (84.12%)

  • 🧑‍💻 M.Sc. in Computer Science
    📅 2004–2006
    🏫 Sri Krishnadevaraya University, Anantapur
    🏅 Division: Distinction (82.4%)

💼 Professional Experience

  • 👩‍🏫 Associate Professor, Dept. of Computer Science & Engineering
    🏫 Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh
    📅 2021 – Present

  • 👩‍🏫 Assistant Professor, Dept. of CSE
    🏫 Sir C.V. Raman Institute of Technology and Sciences
    📅 June 2013 – March 2016

  • 👩‍🏫 Lecturer, Dept. of Computer Science
    🏫 Nalanda Degree College, Anantapur
    📅 June 2006 – May 2013

  • 📚 PG Classes Instructor (During Ph.D.)
    🏫 Sri Krishnadevaraya University
    📅 2016–2020

🕰️ Total Teaching Experience: 18+ Years

🏆 Achievements & Qualifications

  • Qualified NET (National Eligibility Test)
    📅 June 2020
    🖥️ Subject: Computer Science & Applications

  • Qualified AP-SET (Andhra Pradesh State Eligibility Test)
    📅 2019
    🖥️ Subject: Computer Science & Applications

Publication Top Notes:

CITED:9
CITED:4
CITED:2
CITED:1
CITED:1
CITED:1

 

Mr. Yongnan Xu | Internet of Things Awards | Best Researcher Award

Mr. Yongnan Xu | Internet of Things Awards | Best Researcher Award 

Mr. Yongnan Xu, Sichuan University, China

Mr. Yongnan Xu is a dedicated researcher and scholar at Sichuan University, where he focuses on multi-objective optimization, integrated space-air-ground networks, unmanned aerial vehicle (UAV) networks, and neural networks. He earned his B.S. degree from Shenzhen University and an M.S. degree in Electronic Information from Sichuan University. With three SCI papers, one conference paper, and two patents to his name, Mr. Xu has made significant contributions to the field, particularly in enhancing channel capacity fairness for ground devices in integrated networks and improving neural network efficiency through joint optimization techniques. His ongoing research projects include developing satellite internet support technology and high-temperature gas measurement technologies. Mr. Xu’s work is recognized internationally, and he is a nominee for the Best Researcher Award.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Mr. Yongnan Xu is a highly qualified candidate for the Best Researcher Award, recognized for his contributions to the field of electronic information and integrated networks. His academic achievements, innovative research projects, and practical applications position him as a leader in his domain.

Education 🎓

  • B.S. in Engineering
    Shenzhen University
  • M.S. in Electronic Information
    Sichuan University

Work Experience 💼

  • Researcher
    Sichuan University
    Focus: Integrated space-air-ground networks and multi-objective optimization
    Year: 2021 – Present

Achievements 🏆

  • Publications:
    • 3 SCI papers
    • 1 conference paper
    • Filed 2 patents
  • Research Projects:
    1. Research on Satellite Internet Support Technology in Areas with Weak Communication Resources based on Low-orbit Constellation Satellites (2021YFQ0011, Sichuan Province)
    2. Research on High Temperature and High Pressure Gas Measurement Technology of Nuclear Reactor (Horizontal research project of Sichuan University)
  • Citation Index:
    All references cited 9 times

Patents 🛠️

  1. A Multi-Objective Optimization Method for Air-to-Earth Communication Resources based on Pareto Optimal Solution (CN 202311028249.9)
    • Status: Passed the first reading (October 20, 2023)
  2. A Routing Scheme Combining Floyd Algorithm and Reinforcement Learning in LEO Satellite Networks (CN 202410130728.X)
    • Status: Passed the first reading (January 31, 2024)

Awards and Honors 🌟

  • Best Researcher Award (Nomination in Progress)
  • Network of Conservation Educators and Professionals 2017
    • Travel Award to attend Conservation Teaching and Learning Studio
  • EPPS Outstanding Teaching Comet Award
    • 2014, 2015, 2016

Publication Top Notes:

A Multiarea On-Demand Classification Constellation Design for Satellite IoT

Multi-objective Resource Allocation across Multiple IoT Device Categories in Space-Air-Ground Integrated Network